Triple
T2084494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of the Rokel |
E45317
|
entity |
| Predicate | conferredOnOccasion |
P4842
|
FINISHED |
| Object | national ceremonies |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: national ceremonies | Statement: [Order of the Rokel, conferredOnOccasion, national ceremonies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferredOnOccasion Context triple: [Order of the Rokel, conferredOnOccasion, national ceremonies]
-
A.
awardCeremonyOccasion
chosen
Indicates that an award ceremony is held on, or in connection with, a particular occasion or event.
-
B.
conferredOn
Indicates that something (such as an honor, title, degree, or benefit) has been formally granted or bestowed upon a particular entity.
-
C.
conferredIn
Indicates that something (such as a degree, title, or honor) was formally granted or awarded within a particular context, event, or institution.
-
D.
ceremonyType
Indicates the specific kind or category of ceremony associated with an event or relationship.
-
E.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba53d4488190a7d9eabcb6904e8e |
completed | March 7, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.